net.sourceforge.jiu.color.quantization
Class PopularityQuantizer
- RGBIndex, RGBQuantizer
public class PopularityQuantizer
Performs the popularity color quantization algorithm that maps an image to
the colors occurring most frequently in the input image.
The number of colors in the palette can be defined by the user of this
operation with
setPaletteSize(int)
.
Supported image types
The input image must implement
RGB24Image
,
the output image must be of type
Paletted8Image
.
Usage example
The following code snippet uses the default settings with a palette of 256 entries.
PopularityQuantizer quantizer = new PopularityQuantizer();
quantizer.setInputImage(image);
quantizer.setPaletteSize(256);
quantizer.process();
PixelImage quantizedImage = quantizer.getOutputImage();
doNotMap
private boolean doNotMap
paletteSize
private int paletteSize
getPaletteSize
public int getPaletteSize()
Returns the number of colors in the destination image.
If output is paletted, this is also the number of entries
in the palette.
- number of colors in the destination
map
public int map(int[] origRgb,
int[] quantizedRgb)
- map in interface RGBQuantizer
setMapping
public void setMapping(boolean newValue)
Specifies whether this operation will map the image to the
new palette (true) or not (false).
The latter may be interesting if only the palette is required.
By default, this operation does map.
newValue
- map to new image (true) or just search palette (false)
setPaletteSize
public void setPaletteSize(int newPaletteSize)
Sets the number of colors that this operations is supposed to reduce
the original image to.
newPaletteSize
- the number of colors